- recipe bioconductor-splinetimer
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/splineTimeR.html
- License
GPL-3
- Recipe
- Links
biotools: splinetimer, doi: 10.1371/journal.pone.0160791
This package provides functions for differential gene expression analysis of gene expression time-course data. Natural cubic spline regression models are used. Identified genes may further be used for pathway enrichment analysis and/or the reconstruction of time dependent gene regulatory association networks.
- package bioconductor-splinetimer¶
-
- Versions
1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-1
,1.12.0-1
,1.10.0-0
,1.8.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-1
,1.12.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-fis
>=1.22.0,<1.23.0
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-limma
>=3.50.0,<3.51.0
r-base
>=4.1,<4.2.0a0
r-genenet
>=1.2.13
r-longitudinal
>=1.1.12
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-splinetimer
and update with:
conda update bioconductor-splinetimer
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-splinetimer:<tag>
(see bioconductor-splinetimer/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-splinetimer/README.html)